多边形网格
内射函数
预处理程序
等距(黎曼几何)
计算机科学
四面体
最优化问题
算法
数学
数学优化
几何学
数学分析
计算机图形学(图像)
纯数学
迭代法
作者
Sebastian Claici,Mikhail Bessmeltsev,Scott Schaefer,Justin Solomon
摘要
Abstract This paper presents a new preconditioning technique for large‐scale geometric optimization problems, inspired by applications in mesh parameterization. Our positive (semi‐)definite preconditioner acts on the gradients of optimization problems whose variables are positions of the vertices of a triangle mesh in ℝ 2 or of a tetrahedral mesh in ℝ 3 , converting localized distortion gradients into the velocity of a globally near‐rigid motion via a linear solve. We pose our preconditioning tool in terms of the Killing energy of a deformation field and provide new efficient formulas for constructing Killing operators on triangle and tetrahedral meshes. We demonstrate that our method is competitive with state‐of‐the‐art algorithms for locally injective parameterization using a variety of optimization objectives and show applications to two‐ and three‐dimensional mesh deformation.
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